Evidence map›Paper›PMID 40607033›Full record

ArticleFrontiers in nutrition2025

Changes of functional brain network topology associated with nutritional indicator of patients with recurrent major depressive disorder.

Guanghui Liu, Yanli Jiang, Chunpeng Zhou, Xiangxiang Wang, Min Dai, Jinping Zhang, Jing Yu, Gangzhong Zhang

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guanghui Liu *Department of Neurosurgery, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Yanli Jiang *Department of Radiology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Chunpeng ZhouDepartment of Neurosurgery, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Xiangxiang WangDepartment of Neurosurgery, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Min DaiDepartment of Neurology, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Jinping ZhangDepartment of Neurology, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Jing YuDepartment of Radiology, Nanjing Brain Hospital, Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Gangzhong ZhangDepartment of Neurosurgery, Zhengzhou Seventh People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Major depressive disorder (MDD) is generally categorized into first-episode MDD (fMDD) and recurrent MDD (rMDD). This study aimed to investigate the changes of brain network, as well as the relationships between relapses, brain regions, nutritional and metabolic indicators by resting-state functional magnetic resonance imaging (rs-fMRI) and graph theoretical analysis. Methods: Thirty-two fMDD patients, 32 rMDD patients, and 32 healthy controls (HCs) underwent rs-fMRI scanning. Graph theoretical analysis was applied to examine the nodal strength and nodal global efficiency of brain networks. In addition, the nutritional and metabolic indicators were acquired from all patients. The differences of demographic, clinical data and topological parameters between groups were compared. Moreover, the relationships between number of relapses, topological parameters of brain regions, nutritional and metabolic indicators were evaluated. Results: Patients with rMDD showed decreased level of brain-derived neurotrophic factor (BDNF) when compared with those with fMDD. Both fMDD and rMDD patients showed decreased nodal strength and global efficiency in the left amygdala compared to HCs. Additionally, rMDD patients exhibited more extensive network disruptions, including decreased nodal strength in the right middle frontal gyrus, left middle cingulate gyrus, left posterior cingulate gyrus, left hippocampus, and right amygdala, as well as decreased nodal global efficiency in multiple regions involved in emotional processing and cognitive control. Moreover, the number of episodes were negatively associated with the level of BDNF, nodal strength of right amygdala and nodal global efficiency of right amygdala of rMDD patients. The level of BDNF were positively related to nodal strength of right amygdala and nodal global efficiency of right amygdala of rMDD patients. Conclusion: Our findings revealed distinct patterns of brain network topology between fMDD and rMDD patients, with rMDD patients showing more widespread disruptions, which might be associated with greater number of relapses and worse level of neurological nutrition. These results suggested that recurrent depressive episodes might related to progressive disruptions in brain, particularly in regions involved in emotional processing and regulation.

Indexed as

brain-derived neurotrophic factorfunctional brain networkmajor depressive disorderrecurrenceresting-state functional magnetic resonance imaging

Identifiers

PMID40607033
PMCPMC12214464

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